Gregor Neuert, Ph.D.

Assistant Professor

gregor.neuert@vanderbilt.edu

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Faculty Appointments
Assistant Professor of Molecular Physiology and Biophysics Assistant Professor of Biomedical Engineering
Education
Ph.D., Physics, Ludwig-Maximilians-Universität , Munich, GermanyM.Eng., Ilmenau University of Technology, Ilmenau, Germany
Office Address
813C light Hall
2215 Garland Avenue
Nashville, TN 37232-0615
Research Description
Quantitative Systems Biology of signal transduction and gene regulation of coding and non-coding RNA

A hallmark of life is organisms’ ability to sense and respond to internal and external signals. Our research interests focus on quantitative and predictive understanding of dynamics in signal transduction and regulation of the coding and the noncoding genome related to human health. We are using a cross-disciplinary approach of biology, physics, engineering and computer science by combining quantitative single-molecule experiments in individual cells with genetics and computational biology. Results from this quantitative systems biology research will help to answer key questions in signal transduction and gene regulation of healthy and diseased tissue, and will significantly deepen our understanding of fundamental biophysical and molecular principles in various research fields.

Current research areas are:

1. To develop physiologically relevant cell perturbations to understand biological systems.

2. To understand the function of the noncoding genome.

3. To revolutionize model predictions in human health.
Research Keywords
Quantitative Systems Biology of signal transduction and gene regulation of coding and non-coding RNA. autoimmune disease, big data, bioinformatics, biophysics, cancer, cell differentiation, chromatin regulation, computational biology, computational modeling, developmental biology, eppigenetics, epigenetic regulation, evolution, flow cytometry, gene regulation, genomics, human disease, hypertension, image processing, immunology, long non-coding RNA, mass spectrometry, molecular biology, machine learning, neurodegenerative disease, neuroinflammation, proteomics, quantitative biology, microscopy, pharmacology, regeneration, RNA, single cells, single molecules, stem cells, systems biology, signal transduction, transcription, yeast genetics.
Publications
Fox Z, Neuert G, Munsky B. Finite state projection based bounds to compare chemical master equation models using single-cell data. J Chem Phys. 2016 Aug 8/21/2016; 145(7): 74101. PMID: 27544081, DOI: 10.1063/1.4960505, ISSN: 1089-7690.

Munsky B, Fox Z, Neuert G. Integrating single-molecule experiments and discrete stochastic models to understand heterogeneous gene transcription dynamics. Methods [print-electronic]. 2015 Sep 9/1/2015; 85: 12-21. PMID: 26079925, PMCID: PMC4537808, PII: S1046-2023(15)00251-0, DOI: 10.1016/j.ymeth.2015.06.009, ISSN: 1095-9130.

Munsky B, Neuert G. From analog to digital models of gene regulation. Phys Biol. 2015 Jul; 12(4): 45004. PMID: 26086470, PMCID: PMC4591055, DOI: 10.1088/1478-3975/12/4/045004, ISSN: 1478-3975.

Neuert G, Munsky B, Tan RZ, Teytelman L, Khammash M, van Oudenaarden A. Systematic identification of signal-activated stochastic gene regulation. Science. 2013 Feb 2/1/2013; 339(6119): 584-7. PMID: 23372015, PMCID: PMC3751578, PII: 339/6119/584, DOI: 10.1126/science.1231456, ISSN: 1095-9203.

van Werven FJ, Neuert G, Hendrick N, Lardenois A, Buratowski S, van Oudenaarden A, Primig M, Amon A. Transcription of two long noncoding RNAs mediates mating-type control of gametogenesis in budding yeast. Cell [print-electronic]. 2012 Sep 9/14/2012; 150(6): 1170-81. PMID: 22959267, PMCID: PMC3472370, PII: S0092-8674(12)00939-7, DOI: 10.1016/j.cell.2012.06.049, ISSN: 1097-4172.

Munsky B, Neuert G, van Oudenaarden A. Using gene expression noise to understand gene regulation. Science. 2012 Apr 4/13/2012; 336(6078): 183-7. PMID: 22499939, PMCID: PMC3358231, PII: 336/6078/183, DOI: 10.1126/science.1216379, ISSN: 1095-9203.

Bumgarner SL, Neuert G, Voight BF, Symbor-Nagrabska A, Grisafi P, van Oudenaarden A, Fink GR. Single-cell analysis reveals that noncoding RNAs contribute to clonal heterogeneity by modulating transcription factor recruitment. Mol. Cell [print-electronic]. 2012 Feb 2/24/2012; 45(4): 470-82. PMID: 22264825, PMCID: PMC3288511, PII: S1097-2765(11)00996-8, DOI: 10.1016/j.molcel.2011.11.029, ISSN: 1097-4164.

Zimmermann JL, Nicolaus T, Neuert G, Blank K. Thiol-based, site-specific and covalent immobilization of biomolecules for single-molecule experiments. Nat Protoc. 2010 Jun; 5(6): 975-85. PMID: 20448543, PII: nprot.2010.49, DOI: 10.1038/nprot.2010.49, ISSN: 1750-2799.

Albrecht CH, Neuert G, Lugmaier RA, Gaub HE. Molecular force balance measurements reveal that double-stranded DNA unbinds under force in rate-dependent pathways. Biophys. J [print-electronic]. 2008 Jun; 94(12): 4766-74. PMID: 18339733, PMCID: PMC2397355, PII: S0006-3495(08)70343-6, DOI: 10.1529/biophysj.107.125427, ISSN: 1542-0086.

Neuert G, Albrecht CH, Gaub HE. Predicting the rupture probabilities of molecular bonds in series. Biophys. J [print-electronic]. 2007 Aug 8/15/2007; 93(4): 1215-23. PMID: 17468164, PMCID: PMC1929050, PII: S0006-3495(07)71379-6, DOI: 10.1529/biophysj.106.100511, ISSN: 0006-3495.

Neuert G, Albrecht C, Pamir E, Gaub HE. Dynamic force spectroscopy of the digoxigenin-antibody complex. FEBS Lett [print-electronic]. 2006 Jan 1/23/2006; 580(2): 505-9. PMID: 16388805, PII: S0014-5793(05)01535-8, DOI: 10.1016/j.febslet.2005.12.052, ISSN: 0014-5793.

Available Postdoctoral Position Details
Posted: 7/2/2015
We are seeking highly motivated, driven and curious recent graduates (not more then 2 years of postdoctoral training) with programing experience in Matlab, Python or R and with a strong background, proven record (first author publications) and rigorous training in one or more of the following areas: biophysics, cancer biology, computational biology, computational modeling, control and dynamical systems theory, immunology, neuroscience, pharmacology, single molecule biophysics, systems biology or yeast genetics.

Please send an email with your CV, contact addresses of three references and a short description why you are interested in joining the lab. Applicants are encouraged to apply for individual postdoctoral fellowships.